backend-patterns

name	backend-patterns
description	后端架构模式、API 设计、数据库优化以及针对 Node.js、Express 和 Next.js API 路由的服务端最佳实践。
origin	ECC

后端开发模式 (Backend Development Patterns)

用于构建可扩展服务端应用的后端架构模式与最佳实践。

何时激活 (When to Activate)

• 设计 REST 或 GraphQL API 端点时
• 实现仓储层（Repository）、服务层（Service）或控制层（Controller）时
• 优化数据库查询（N+1 问题、索引、连接池）时
• 添加缓存（Redis、内存缓存、HTTP 缓存头）时
• 设置后台作业（Background jobs）或异步处理时
• 为 API 构建错误处理与数据校验机制时
• 编写中间件（身份验证、日志记录、限流）时

API 设计模式

RESTful API 结构

// ✅ 基于资源的 URL
GET    /api/markets                 # 获取资源列表
GET    /api/markets/:id             # 获取单个资源
POST   /api/markets                 # 创建资源
PUT    /api/markets/:id             # 替换资源
PATCH  /api/markets/:id             # 更新资源
DELETE /api/markets/:id             # 删除资源

// ✅ 使用查询参数进行过滤、排序、分页
GET /api/markets?status=active&sort=volume&limit=20&offset=0

仓储模式 (Repository Pattern)

// 抽象数据访问逻辑
interface MarketRepository {
  findAll(filters?: MarketFilters): Promise<Market[]>
  findById(id: string): Promise<Market | null>
  create(data: CreateMarketDto): Promise<Market>
  update(id: string, data: UpdateMarketDto): Promise<Market>
  delete(id: string): Promise<void>
}

class SupabaseMarketRepository implements MarketRepository {
  async findAll(filters?: MarketFilters): Promise<Market[]> {
    let query = supabase.from('markets').select('*')

    if (filters?.status) {
      query = query.eq('status', filters.status)
    }

    if (filters?.limit) {
      query = query.limit(filters.limit)
    }

    const { data, error } = await query

    if (error) throw new Error(error.message)
    return data
  }

  // 其他方法...
}

服务层模式 (Service Layer Pattern)

// 将业务逻辑与数据访问分离
class MarketService {
  constructor(private marketRepo: MarketRepository) {}

  async searchMarkets(query: string, limit: number = 10): Promise<Market[]> {
    // 业务逻辑
    const embedding = await generateEmbedding(query)
    const results = await this.vectorSearch(embedding, limit)

    // 获取完整数据
    const markets = await this.marketRepo.findByIds(results.map(r => r.id))

    // 按相似度排序
    return markets.sort((a, b) => {
      const scoreA = results.find(r => r.id === a.id)?.score || 0
      const scoreB = results.find(r => r.id === b.)?. || 
       scoreA - scoreB
    })
  }

    () {
    
  }
}

中间件模式 (Middleware Pattern)

// 请求/响应处理流水线
export function withAuth(handler: NextApiHandler): NextApiHandler {
  return async (req, res) => {
    const token = req.headers.authorization?.replace('Bearer ', '')

    if (!token) {
      return res.status(401).json({ error: 'Unauthorized' })
    }

    try {
      const user = await verifyToken(token)
      req.user = user
      return handler(req, res)
    } catch (error) {
      return res.status(401).json({ error: 'Invalid token' })
    }
  }
}

// 使用示例
export default withAuth(async (req, res) => {
  // Handler 可以访问 req.user
})

数据库模式

查询优化

// ✅ 推荐：仅选择需要的列
const { data } = await supabase
  .from('markets')
  .select('id, name, status, volume')
  .eq('status', 'active')
  .order('volume', { ascending: false })
  .limit(10)

// ❌ 糟糕：选择所有列
const { data } = await supabase
  .from('markets')
  .select('*')

防止 N+1 查询

// ❌ 糟糕：N+1 查询问题
const markets = await getMarkets()
for (const market of markets) {
  market.creator = await getUser(market.creator_id)  // 产生 N 次查询
}

// ✅ 推荐：批量获取
const markets = await getMarkets()
const creatorIds = markets.map(m => m.creator_id)
const creators = await getUsers(creatorIds)  // 1 次查询
const creatorMap = new Map(creators.map(c => [c.id, c]))

markets.forEach(market => {
  market.creator = creatorMap.get(market.creator_id)
})

事务模式 (Transaction Pattern)

async function createMarketWithPosition(
  marketData: CreateMarketDto,
  positionData: CreatePositionDto
) {
  // 使用 Supabase 事务 (RPC 调用)
  const { data, error } = await supabase.rpc('create_market_with_position', {
    market_data: marketData,
    position_data: positionData
  })

  if (error) throw new Error('Transaction failed')
  return data
}

// Supabase 中的 SQL 函数
CREATE OR REPLACE FUNCTION create_market_with_position(
  market_data jsonb,
  position_data jsonb
)
RETURNS jsonb
LANGUAGE plpgsql
AS $$
BEGIN
  -- 自动开始事务
  INSERT INTO markets VALUES (market_data);
  INSERT INTO positions VALUES (position_data);
  RETURN jsonb_build_object('success', true);
EXCEPTION
  WHEN OTHERS THEN
    -- 发生错误时自动回滚
    RETURN (, , , );
;
$$;

缓存策略

Redis 缓存层

class CachedMarketRepository implements MarketRepository {
  constructor(
    private baseRepo: MarketRepository,
    private redis: RedisClient
  ) {}

  async findById(id: string): Promise<Market | null> {
    // 首先检查缓存
    const cached = await this.redis.get(`market:${id}`)

    if (cached) {
      return JSON.parse(cached)
    }

    // 缓存未命中 - 从数据库获取
    const market = await this.baseRepo.findById(id)

    if (market) {
      // 缓存 5 分钟
      await this.redis.setex(`market:${id}`, 300, JSON.stringify(market))
    }

    return market
  }

  async invalidateCache(id: ): <> {
     ..()
  }
}

旁路缓存模式 (Cache-Aside Pattern)

async function getMarketWithCache(id: string): Promise<Market> {
  const cacheKey = `market:${id}`

  // 尝试从缓存获取
  const cached = await redis.get(cacheKey)
  if (cached) return JSON.parse(cached)

  // 缓存未命中 - 从数据库获取
  const market = await db.markets.findUnique({ where: { id } })

  if (!market) throw new Error('Market not found')

  // 更新缓存
  await redis.setex(cacheKey, 300, JSON.stringify(market))

  return market
}

错误处理模式

集中式错误处理器

class ApiError extends Error {
  constructor(
    public statusCode: number,
    public message: string,
    public isOperational = true
  ) {
    super(message)
    Object.setPrototypeOf(this, ApiError.prototype)
  }
}

export function errorHandler(error: unknown, req: Request): Response {
  if (error instanceof ApiError) {
    return NextResponse.json({
      success: false,
      error: error.message
    }, { status: error.statusCode })
  }

  if (error instanceof z.ZodError) {
    return NextResponse.json({
      success: false,
      error: 'Validation failed',
      details: error.
    }, { :  })
  }

  
  .(, error)

   .({
    : ,
    : 
  }, { :  })
}


   () {
   {
     data =  ()
     .({ : , data })
  }  (error) {
     (error, request)
  }
}

指数退避重试 (Retry with Exponential Backoff)

async function fetchWithRetry<T>(
  fn: () => Promise<T>,
  maxRetries = 3
): Promise<T> {
  let lastError: Error

  for (let i = 0; i < maxRetries; i++) {
    try {
      return await fn()
    } catch (error) {
      lastError = error as Error

      if (i < maxRetries - 1) {
        // 指数退避：1s, 2s, 4s
        const delay = Math.pow(2, i) * 1000
        await new Promise(resolve => setTimeout(resolve, delay))
      }
    }
  }

  throw lastError!
}

// 使用示例
const data = await fetchWithRetry(() => fetchFromAPI())

身份验证与授权

JWT 令牌校验

import jwt from 'jsonwebtoken'

interface JWTPayload {
  userId: string
  email: string
  role: 'admin' | 'user'
}

export function verifyToken(token: string): JWTPayload {
  try {
    const payload = jwt.verify(token, process.env.JWT_SECRET!) as JWTPayload
    return payload
  } catch (error) {
    throw new ApiError(401, 'Invalid token')
  }
}

export async function requireAuth(request: Request) {
  const token = request.headers.get('authorization')?.replace('Bearer ', '')

  if (!token) {
    throw new ApiError(401, 'Missing authorization token')
  }

  return (token)
}


   () {
   user =  (request)

   data =  (user.)

   .({ : , data })
}

基于角色的访问控制 (RBAC)

type Permission = 'read' | 'write' | 'delete' | 'admin'

interface User {
  id: string
  role: 'admin' | 'moderator' | 'user'
}

const rolePermissions: Record<User['role'], Permission[]> = {
  admin: ['read', 'write', 'delete', 'admin'],
  moderator: ['read', 'write', 'delete'],
  user: ['read', 'write']
}

export function hasPermission(user: User, permission: Permission): boolean {
  return rolePermissions[user.role].includes(permission)
}

export function requirePermission(permission: Permission) {
  return (handler: (request: Request, user: User) => Promise<>) => {
      (: ) => {
       user =  (request)

       (!(user, permission)) {
          (, )
      }

       (request, user)
    }
  }
}


   = ()(
   (: , : ) => {
    
      (, { :  })
  }
)

限流 (Rate Limiting)

简单的内存限流器

class RateLimiter {
  private requests = new Map<string, number[]>()

  async checkLimit(
    identifier: string,
    maxRequests: number,
    windowMs: number
  ): Promise<boolean> {
    const now = Date.now()
    const requests = this.requests.get(identifier) || []

    // 移除窗口期之前的旧请求
    const recentRequests = requests.filter(time => now - time < windowMs)

    if (recentRequests.length >= maxRequests) {
      return false  // 超过限流
    }

    // 添加当前请求
    recentRequests.push(now)
    this.requests.set(identifier, recentRequests)

    return true
  }
}

const limiter = new RateLimiter()

export async function GET(request: Request) {
   ip = request..() || 

   allowed =  limiter.(ip, , )  

   (!allowed) {
     .({
      : 
    }, { :  })
  }

  
}

后台任务与队列 (Background Jobs & Queues)

简单队列模式

class JobQueue<T> {
  private queue: T[] = []
  private processing = false

  async add(job: T): Promise<void> {
    this.queue.push(job)

    if (!this.processing) {
      this.process()
    }
  }

  private async process(): Promise<void> {
    this.processing = true

    while (this.queue.length > 0) {
      const job = this.queue.shift()!

      try {
        await this.execute(job)
      } catch (error) {
        console.error('Job failed:', error)
      }
    }

    this.processing = false
  }

  private async execute(job: T): <> {
    
  }
}


  {
  : 
}

 indexQueue =  <>()

   () {
   { marketId } =  request.()

  
   indexQueue.({ marketId })

   .({ : , :  })
}

日志与监控 (Logging & Monitoring)

结构化日志

interface LogContext {
  userId?: string
  requestId?: string
  method?: string
  path?: string
  [key: string]: unknown
}

class Logger {
  log(level: 'info' | 'warn' | 'error', message: string, context?: LogContext) {
    const entry = {
      timestamp: new Date().toISOString(),
      level,
      message,
      ...context
    }

    console.log(JSON.stringify(entry))
  }

  info(message: string, context?: LogContext) {
    this.log('info', message, context)
  }

  warn(message: string, context?: LogContext) {
    this.log('warn', message, context)
  }

  error() {
    .(, message, {
      ...context,
      : error.,
      : error.
    })
  }
}

 logger =  ()


   () {
   requestId = crypto.()

  logger.(, {
    requestId,
    : ,
    : 
  })

   {
     markets =  ()
     .({ : , : markets })
  }  (error) {
    logger.(, error  , { requestId })
     .({ :  }, { :  })
  }
}

提示：后端模式旨在构建可扩展、可维护的服务端应用。请根据具体的复杂度需求选择合适的模式。